Triple
T36077972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Nobs |
E1043550
|
entity |
| Predicate | describedInLyricsAs |
P191377
|
FINISHED |
| Object | "Funky Claude was running in and out" in "Smoke on the Water" |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: "Funky Claude was running in and out" in "Smoke on the Water" | Statement: [Claude Nobs, describedInLyricsAs, "Funky Claude was running in and out" in "Smoke on the Water"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describedInLyricsAs Context triple: [Claude Nobs, describedInLyricsAs, "Funky Claude was running in and out" in "Smoke on the Water"]
-
A.
describedByArtistAs
Indicates that an entity is characterized or portrayed in a particular way by a specific artist.
-
B.
isFrequentlyDescribedAs
Indicates that something is often characterized or referred to using a particular description or set of attributes.
-
C.
hasPersonalityDescribedAs
Indicates that an entity possesses a personality characterized or labeled in a particular way.
-
D.
singsAbout
Indicates that one entity performs a song whose subject or theme is another entity.
-
E.
describedAsIn
chosen
Indicates that one entity is described or characterized in a particular way within a specified information source or context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: May 3, 2026, 4:08 p.m.